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- Data drift (also called feature drift or covariate shift) occurs when the distribution of input features changes over time. Concept drift is when the relationship between inputs and the target itself changes (e.g., what counts as 'fraud' evolves). Both can degrade model performance, but they are diagnosed and addressed differently. Detection methods include the Kolmogorov-Smirnov test and the Population Stability Index (PSI).